13783 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 13783 Zip Code | New York | U.S. |
Total Housing Units | 2,079, 100% | 8,153,309 | 132,741,033 |
1 Room | 99, 4.76%, see rank | 3.74% | 1.95% |
2 Rooms | 119, 5.72%, see rank | 3.69% | 2.48% |
3 Rooms | 122, 5.87%, see rank | 15.28% | 9.13% |
4 Rooms | 438, 21.07%, see rank | 18.50% | 16.60% |
5 Rooms | 437, 21.02%, see rank | 16.75% | 20.41% |
6 Rooms | 377, 18.13%, see rank | 15.01% | 18.06% |
7 Rooms | 161, 7.74%, see rank | 10.26% | 12.27% |
8 Rooms | 159, 7.65%, see rank | 7.56% | 8.48% |
9 Rooms or More | 167, 8.03%, see rank | 9.20% | 10.60% |
Median Rooms | 5.10, see rank | 5.00 | 5.50 |
ACS 2008-2012 data
| 13783 Zip Code | New York | U.S. |
Total Housing Units | 1,934, 100% | 8,102,223 | 131,642,457 |
1 Room | 60, 3.10%, see rank | 3.74% | 1.95% |
2 Rooms | 70, 3.62%, see rank | 3.56% | 2.36% |
3 Rooms | 227, 11.74%, see rank | 15.00% | 8.97% |
4 Rooms | 339, 17.53%, see rank | 18.37% | 16.57% |
5 Rooms | 399, 20.63%, see rank | 16.69% | 20.41% |
6 Rooms | 288, 14.89%, see rank | 15.16% | 18.25% |
7 Rooms | 263, 13.60%, see rank | 10.40% | 12.38% |
8 Rooms | 206, 10.65%, see rank | 7.73% | 8.59% |
9 Rooms or More | 82, 4.24%, see rank | 9.36% | 10.52% |
Median Rooms | 5.20, see rank | 5.10 | 5.50 |
US Census 2000 data
| 13783 Zip Code | New York | U.S. |
Total Housing Units | 1,837, 100% | 7,679,307 | 115,904,641 |
1 Room | 13, 0.71%, see rank | 4.20% | 2.20% |
2 Rooms | 108, 5.88%, see rank | 6.83% | 4.81% |
3 Rooms | 189, 10.29%, see rank | 14.77% | 9.84% |
4 Rooms | 359, 19.54%, see rank | 16.86% | 15.97% |
5 Rooms | 338, 18.40%, see rank | 16.00% | 20.89% |
6 Rooms | 355, 19.32%, see rank | 15.17% | 18.45% |
7 Rooms | 221, 12.03%, see rank | 10.56% | 12.06% |
8 Rooms | 128, 6.97%, see rank | 7.67% | 8.06% |
9 Rooms or More | 126, 6.86%, see rank | 7.93% | 7.70% |
Median Rooms | 5.20, see rank | 5.00 | 5.30 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.